A Comparison of Wind Turbine Design Loads in Different Environments using Inverse Reliability

Probabilistic Methods for Predicting Wind Turbine Design Loads

41st Aerospace Sciences Meeting and Exhibit ◽

10.2514/6.2003-864 ◽

2003 ◽

Cited By ~ 1

Author(s):

Patrick Moriarty ◽

William Holley ◽

Sandy Butterfield

Keyword(s):

Wind Turbine ◽

Probabilistic Methods ◽

Design Loads ◽

Turbine Design

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Validation and accommodation of vortex wake codes for wind turbine design load calculations

10.5194/wes-2020-6 ◽

2020 ◽

Author(s):

Koen Boorsma ◽

Florian Wenz ◽

Koert Lindenburg ◽

Mansoor Aman ◽

Menno Kloosterman

Keyword(s):

Wind Turbine ◽

Current Trend ◽

Fatigue Loading ◽

Computational Effort ◽

Vortex Wake ◽

Fatigue Load ◽

Rotor Aerodynamics ◽

Design Loads ◽

Turbine Design ◽

Blade Element

Abstract. The computational effort for wind turbine design loads calculations is more extreme than it is for other applications (e.g. aerospace) which necessitates the use of efficient but low-fidelity models. Traditionally the Blade Element Momentum (BEM) method is used to resolve the rotor aerodynamics loads for this purpose, as this method is fast and robust. With the current trend of increasing rotor size, and consequently large and flexible blades, a need has risen for a more accurate prediction of rotor aerodynamics. Previous work has demonstrated large improvement potential in terms of fatigue load predictions using vortex wake models together with a manageable penalty in computational effort. The present publication has contributed towards making vortex wake models ready for application to certification load calculations. The observed reduction in flapwise blade root moment fatigue loading using vortex wake models instead of the Blade Element Momentum method from previous publications has been verified using a numerical wind tunnel, i.e. Computational Fluid Dynamics (CFD) simulations. A validation effort against a long term field measurement campaign featuring 2.5 MW turbines has also confirmed the improved prediction of unsteady load characteristics by vortex wake models against BEM based models in terms of fatigue loading. New light has been shed on the cause for the observed differences and several model improvements have been developed, both to reduce the computational effort of vortex wake simulations and to make BEM models more accurate. Scoping analyses for an entire fatigue load set have revealed the overall fatigue reduction may be up to 5 % for the AVATAR 10 MW rotor using a vortex wake rather than a BEM based code.

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Predicting Design Wind Turbine Loads from Limited Data: Comparing Random Process and Random Peak Models

Journal of Solar Energy Engineering ◽

10.1115/1.1409561 ◽

2001 ◽

Vol 123 (4) ◽

pp. 364-371 ◽

Cited By ~ 15

Author(s):

LeRoy M. Fitzwater ◽

Steven R. Winterstein

Keyword(s):

Wind Turbine ◽

Random Process ◽

Process Model ◽

Probability Model ◽

Probability Models ◽

Extreme Loads ◽

Design Loads ◽

Bending Loads ◽

Turbine Design ◽

Peak Model

This paper considers two distinct topics that arise in reliability-based wind turbine design. First, it illustrates how general probability models can be used to predict long-term design loads from a set of limited-duration, short-term load histories. Second, it considers in detail the precise choice of probability model to be adopted, for both flap and edge bending loads in both parked and operating turbine conditions. In particular, a 3-moment random peak model and a 3- or 4-moment random process model are applied and compared. For a parked turbine, all models are found to be virtually unbiased and to notably reduce uncertainty in estimating extreme loads (e.g., by roughly 50%). For an operating turbine, however, only the random peak model is found to retain these beneficial features. This suggests the advantage of the random peak model, which appears to capture the rotating blade behavior sufficiently well to accurately predict extremes.

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